Smart Survey Model of Average Daily Traffic (ADT) for Pavement Planning and Monitoring

DOI

10.2991/aer.k.210810.001How to use a DOI?

Keywords

Traffic Volume Survey, Smart Survey Modelling, Internet of Things (IoT), Pavement Planning, Monitoring

Abstract

Daily traffic volume surveys for the planning and supervision of manual paving require work, time and are not cheap. Furthermore, the accuracy and speed of data collection are not timely. This study aims to bring a smart survey model that automatically collects and processes data on the daily volume of traffic in real time. The methodology used to model the survey process using smart devices, microcontrollers, sensors, Internet, cloud programming, and customer servers. The model survey process is divided into Part 1, Data collection and Part 2, to handle the axle load of each vehicle. The data is sent via the cloud access point; the cloud data are processed by the server. The model provides traffic volume data with speeds of up to 67.4 Mbps, 98 percent accuracy, and data processing results for monitoring the paving age in real time.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Arthur Daniel Limantara
AU  - Tjahjaning Tingastuti Surjosuseno
AU  - Bambang Subiyanto
AU  - Fauzie Nursandah
AU  - Sri Wiwoho Mudjanarko
AU  - Muhammad Ikhsan Setiawan
AU  - Nawir Rasidi
PY  - 2021
DA  - 2021/08/11
TI  - Smart Survey Model of Average Daily Traffic (ADT) for Pavement Planning and Monitoring
BT  - Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.210810.001
DO  - 10.2991/aer.k.210810.001
ID  - Limantara2021
ER  -